7 Vibe Coding Rules To build production ready apps with #ai

Hasan Aboul Hasan · Intermediate ·💻 AI-Assisted Coding ·1y ago

Key Takeaways

The video demonstrates the use of Vibe coding and AI to build production-ready apps, focusing on 7 key rules to ensure efficient and effective coding, including planning, task management, and testing. Tools such as VS Code and Bold or Lovable are utilized to streamline the development process.

Full Transcript

Seven rules to build production ready apps with AI and Vibe coding. Number one, start with a clear plan. Use the planning feature every time before generating the code. Number two, split your project into tiny tasks. Finish one by one. Rule number three, always restore the chat when switching tasks. Prevent LM confusion. Rule number four, test after every update. Don't assume it just works. Number five, force the AI to ask you questions first before generating the code. Plug this into your system prompt. It will save you hours. Number six, when your code files exceeds 800 lines, split it down into multiple small file. Number seven and the most important, read and understand every AI output. Don't be blind. Enjoy learning while coding. And the bonus tip, always start with a solid project structure. I use Bold or Lovable to kickstart my projects before moving into VS Code. It will save you time and

Original Description

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This video teaches intermediate coders how to build production-ready apps using Vibe coding and AI, focusing on 7 essential rules to ensure efficient and effective development. By following these rules, developers can streamline their coding process and produce high-quality apps. The video highlights the importance of planning, task management, testing, and code organization in AI-assisted coding.

Key Takeaways
  1. Start with a clear plan using the planning feature
  2. Split the project into tiny tasks and finish one by one
  3. Restore the chat when switching tasks to prevent LM confusion
  4. Test after every update to ensure functionality
  5. Force the AI to ask questions before generating code
  6. Split code files into multiple small files when exceeding 800 lines
  7. Read and understand every AI output
  8. Start with a solid project structure using tools like Bold or Lovable
💡 The most important rule is to read and understand every AI output, as this ensures that the developer is aware of potential errors or improvements and can take corrective action.

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